

import cva
import numpy as np


class  SCREAMING_SNAKE_CASE__   :





    def __init__( self		,  a		,  a):






         if k in (0.04, 0.06):
              lowercase__       :  int =			k
              lowercase__       :  Optional[Any] =			window_size
         else:
              raise ValueError('invalid k value')





    def __str__( self):
         return str(self.k)





    def  snake_case_							( self		,  a):
         lowercase__       :  Union[str, Any] =			cva.imread(__UpperCamelCase		,  0)
         lowercase__ ,					lowercase__       :  str =			img.shape
         lowercase__       :  Dict =			[]
         lowercase__       :  Optional[int] =			img.copy()
         lowercase__       :  Union[str, Any] =			cva.cvtColor(__UpperCamelCase		,  cva.COLOR_GRAY2RGB)
         lowercase__ ,					lowercase__       :  Union[str, Any] =			np.gradient(__UpperCamelCase)
         lowercase__       :  Optional[int] =			dx**2
         lowercase__       :  Dict =			dy**2
         lowercase__       :  Tuple =			dx * dy
         lowercase__       :  Union[str, Any] =			0.04
         lowercase__       :  Union[str, Any] =			self.window_size // 2
         for y in range(__UpperCamelCase		,  h - offset):
              for x in range(__UpperCamelCase		,  w - offset):
                   lowercase__       :  Dict =			ixx[
                       y - offset : y + offset + 1, x - offset : x + offset + 1
                   ].sum()
                   lowercase__       :  Union[str, Any] =			iyy[
                       y - offset : y + offset + 1, x - offset : x + offset + 1
                   ].sum()
                   lowercase__       :  List[Any] =			ixy[
                       y - offset : y + offset + 1, x - offset : x + offset + 1
                   ].sum()

                   lowercase__       :  List[Any] =			(wxx * wyy) - (wxy**2)
                   lowercase__       :  Tuple =			wxx + wyy
                   lowercase__       :  Tuple =			det - k * (trace**2)
                   # Can change the value
                   if r > 0.5:
                        corner_list.append([x, y, r])
                        color_img.itemset((y, x, 0)		,  0)
                        color_img.itemset((y, x, 1)		,  0)
                        color_img.itemset((y, x, 2)		,  255)
         return color_img, corner_list


if __name__ == "__main__":
       snake_case_         =					HarrisCorner(0.04, 3)
       snake_case_         =					edge_detect.detect('''path_to_image''')
       cva.imwrite('''detect.png''', color_img)



"""simple docstring"""



import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_torch


if is_torch_available():
 import torch

 from transformers.generation import DisjunctiveConstraint




@require_torch
class 		a_    (			unittest.TestCase						):







    def   _snake_case       (      self      :							Union[str, Any]  )		->Any:






        '''simple docstring'''






        _UpperCAmelCase        = [[1, 2, 4], [1, 2, 3, 4]]
        _UpperCAmelCase        = DisjunctiveConstraint(__UpperCamelCase  )
        self.assertTrue(isinstance(dc.token_ids  ,       __UpperCamelCase  )  )

        with self.assertRaises(__UpperCamelCase  ):
            DisjunctiveConstraint(torch.LongTensor([[1, 2, 4], [1, 2, 3]]  )  )

        with self.assertRaises(__UpperCamelCase  ):
            DisjunctiveConstraint([torch.LongTensor([1, 2, 4]  ), torch.LongTensor([1, 2, 3, 4, 5]  )]  )







    def   _snake_case       (      self      :							Optional[int]  )		->Dict:






        '''simple docstring'''






        _UpperCAmelCase        = [[1, 2], [1, 2, 3, 4]]

        with self.assertRaises(__UpperCamelCase  ):
            DisjunctiveConstraint(__UpperCamelCase  )  # fails here







    def   _snake_case       (      self      :							Optional[int]  )		->Dict:






        '''simple docstring'''






        _UpperCAmelCase        = [[1, 2, 3], [1, 2, 4]]

        _UpperCAmelCase        = DisjunctiveConstraint(__UpperCamelCase  )

        _UpperCAmelCase     ,_UpperCAmelCase     ,_UpperCAmelCase        = dc.update(1  )
        _UpperCAmelCase        = stepped is True and completed is False and reset is False
        self.assertTrue(__UpperCamelCase  )
        self.assertTrue(not dc.completed  )
        self.assertTrue(dc.current_seq == [1]  )

        _UpperCAmelCase     ,_UpperCAmelCase     ,_UpperCAmelCase        = dc.update(2  )
        _UpperCAmelCase        = stepped is True and completed is False and reset is False
        self.assertTrue(__UpperCamelCase  )
        self.assertTrue(not dc.completed  )
        self.assertTrue(dc.current_seq == [1, 2]  )

        _UpperCAmelCase     ,_UpperCAmelCase     ,_UpperCAmelCase        = dc.update(3  )
        _UpperCAmelCase        = stepped is True and completed is True and reset is False
        self.assertTrue(__UpperCamelCase  )
        self.assertTrue(dc.completed  )  # Completed!
        self.assertTrue(dc.current_seq == [1, 2, 3]  )







    def   _snake_case       (      self      :							List[Any]  )		->Any:






        '''simple docstring'''






        _UpperCAmelCase        = [[1, 2, 3], [1, 2, 4, 5], [1, 2, 5]]

        _UpperCAmelCase        = DisjunctiveConstraint(__UpperCamelCase  )

        _UpperCAmelCase     ,_UpperCAmelCase     ,_UpperCAmelCase        = dc.update(1  )
        self.assertTrue(not dc.completed  )
        self.assertTrue(dc.current_seq == [1]  )

        _UpperCAmelCase     ,_UpperCAmelCase     ,_UpperCAmelCase        = dc.update(2  )
        self.assertTrue(not dc.completed  )
        self.assertTrue(dc.current_seq == [1, 2]  )

        _UpperCAmelCase     ,_UpperCAmelCase     ,_UpperCAmelCase        = dc.update(4  )
        self.assertTrue(not dc.completed  )
        self.assertTrue(dc.current_seq == [1, 2, 4]  )

        _UpperCAmelCase     ,_UpperCAmelCase     ,_UpperCAmelCase        = dc.update(5  )
        self.assertTrue(dc.completed  )  # Completed!
        self.assertTrue(dc.current_seq == [1, 2, 4, 5]  )

        dc.reset()

        _UpperCAmelCase     ,_UpperCAmelCase     ,_UpperCAmelCase        = dc.update(1  )
        self.assertTrue(not dc.completed  )
        self.assertTrue(dc.remaining() == 3  )
        self.assertTrue(dc.current_seq == [1]  )

        _UpperCAmelCase     ,_UpperCAmelCase     ,_UpperCAmelCase        = dc.update(2  )
        self.assertTrue(not dc.completed  )
        self.assertTrue(dc.remaining() == 2  )
        self.assertTrue(dc.current_seq == [1, 2]  )

        _UpperCAmelCase     ,_UpperCAmelCase     ,_UpperCAmelCase        = dc.update(5  )
        self.assertTrue(dc.completed  )  # Completed!
        self.assertTrue(dc.remaining() == 0  )
        self.assertTrue(dc.current_seq == [1, 2, 5]  )